E-commerce growth hacking tips from the experts

Why do you need to know about e-commerce growth hacking? Unlike marketplaces, sellers with their own online stores have a different game. They have complete control over their business and its operations. Starting from brand building to the customer experience, they have the freedom to shape and maintain their image.

However, with this freedom, store owners may not have the expertise to scale it up and outperform.

In today’s world of e-commerce, there are thousands of ways to scale, some focus on product margins, whereas some focus of delivering better customer experience, some focus on the specific product line and the list go on.

Neither way is necessarily right or wrong.

Here are some of the best e-commerce growth hacking tips to make your online store a super success.

These tips cover how to shape buyers experience while opening new doors for the future of your online store.

1.Artificial intelligence and machine learning

One of the most important e-commerce growth hacking tip, AI and machine learning is the one that will have outrageous implications the way online sellers sell their products and the way customers buy them.

The key here is to utilize the combined power of the machine learning and Natural Language Processing (NLP).

This will help to understand the context of how your customers express their needs and requirements.

Image source: Slyce.it

Above image is equivalent to a thousand words explanation.

Personalised product recommendations:

Give your customers personalised product recommendations through recommendation signals which identify the preference of each customer. What products they are searching for, which category they prefer, the price they are comfortable with and so on.

Image source: Myntra

Make the shopping experience for your customers more interactive and pleasant with voice-powered personal shopping assistance.

“At Amazon, we’ve been engaged in the practical application of machine learning for many years now. Some of this work is highly visible: our autonomous Prime Air delivery drones; the Amazon Go convenience store that uses machine vision to eliminate checkout lines; and Alexa, our cloud-based AI assistant. However, much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning will be of this type – quietly but meaningfully improving core operations.” – Jeff Bezos, Amazon CEO, Letter to Shareholders (2016)

AI and machine learning in e-commerce will profoundly impact the success of online stores.